This report describes a necessary and sufficient test for the schedulability of a set of sporadic harddeadline tasks on a multiprocessor platform, using any of a variety of schedu...
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
We present a systematic view planning method to assist construction of 3-D models of large outdoor sites using a mobile robot platform with mounted scanner. In the first stage, w...
This paper describes an efficient 3D modeling method from 3D range data-sets that is utilizing range data segmentation. Our algorithm starts with a set of unregistered 3D range sc...